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November 2025 General Education Council Minutes, University Of Nebraska At Kearney General Education Council

General Education Council

No abstract provided.

Practical Subject-Based Library Budget Allocation In A Bilingual International University, Marion O. Finnegan

Presentations

Formula-based library budget allocation is a topic of much current interest, but most research to date has focused on the factors which affect or should affect budget allocation, rather than the functional units to which the budget is allocated. Typically, it is assumed that budget will be allocated amongst academic departments or programs, with factors such as use, demand, and program characteristics determining the proportion of budget that each department receives.

In this presentation, we propose and demonstrate a more granular, subject-focused model, where the monograph budget is allocated not amongst departments but amongst academic subjects as represented by course …

Spectator 2025-11-06, Editors Of The Spectator

The Spectator

No abstract provided.

Faculty Senate Chronicle November 6, 2025, Heather Loughney

The University of Akron Faculty Senate Chronicle

Minutes for the regular meeting of The University of Akron November 6, 2025

Clyde Rombach, Iii V. Plumbers Local Union No 27 Pension Fund

2025 Decisions

USDC for the Western District of Pennsylvania

Usa V. Marc Anthony

2025 Decisions

USDC for the Eastern District of Pennsylvania

Mechanisms Of Antibody-Mediated Protection In Severe Acute Respiratory Syndrome Coronavirus 2 Infection, Samantha Mackin

Arts & Sciences Graduate Student Theses and Dissertations

ABSTRACT OF THE DISSERTATION Mechanisms of Antibody-Mediated Protection in Severe Acute Respiratory Syndrome Coronavirus 2 Infection by Samantha Rae Mackin Doctor of Philosophy in Biology and Biomedical Sciences Immunology Washington University in St. Louis, 2025 Professor Michael S. Diamond, Chair Coronaviruses (CoVs) are enveloped, non-segmented, positive-sense RNA viruses belonging to the Coronaviridae family. The subfamily Coronavirinae includes four genera: alpha-, beta-, gamma-, and deltacoronaviruses. While gamma- and deltacoronaviruses primarily circulate in wild or domestic birds and have shown the potential for cross-species transmission, alpha- and betacoronaviruses mainly infect mammals, resulting in respiratory illnesses that can be mild or severe. Over …

Studies Of Seismicity In The Alaska Subduction Zone And Antarctica, Patrick Matulka

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation utilizes multiple methods of earthquake detection, relocation, and characterization to investigate the patterns of seismicity along the Alaska subduction zone and Antarctica. The studies of the Alaska subduction zone are built on the data collected during the Alaska Amphibious Community Seismic Experiment (AACSE) that deployed temporary land and ocean-bottom seismometers along the Alaska Peninsula and offshore regions from May 2018 to September 2019. Using seismic arrivals at those stations, as well as a combination of other land-based networks, I relocated 1307 earthquakes in the incoming plate and trench slope regions of the Alaska subduction zone with an absolute …

Exploring Teachers’ Perspectives On Digital Storytelling As A Tool In Saudi Kindergarten Classrooms: A Qualitative Multicase Study, Ouhuud Alahmdi

USF Tampa Graduate Theses and Dissertations

Saudi Arabia’s Vision 2030 emphasizes the importance of integrating digital technologies into early childhood education, with the goal of developing children’s skills for the 21st century from an early age and preparing them for the future. Digital storytelling is an effective and interactive multimodal strategy to enhance young children’s skills in the classroom. However, there is limited research examining how kindergarten teachers design and utilize digital storytelling in their classrooms. This qualitative multicase study aimed to explore how Saudi kindergarten teachers perceived and implemented digital storytelling as a tool to promote engagement and comprehension among young children. The study focused …

Optimising Adherence To Inpatient Rehabilitation Trial Protocols: A Mixed-Methods Systematic Review, Angie Logan, Jonathan Marsden, Jennifer Freeman, Emma Cork, Bridie Kent

School of Health Professions

Background:The results of rehabilitation clinical trials can be negatively affected by adherence to trial protocols. Adherence is multi-factorial, but studies often look at adherence factors separately. Therefore, a systematic review to appraise and synthesise the evidence is warranted to determine the barriers, facilitators and predictors associated with adherence to inpatient rehabilitation trial protocols, whether and how factors interact with one another, and how adherence to rehabilitation protocols can be optimised.Methods:A mixed-methods systematic review was conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Databases searched were PubMed (Ovid), EMBASE (Ovid), MEDLINE (Ovid), CINAHL (Ovid), …

Racial And Ethnic Differences In Experiencing Administrative Burdens In Public Benefit Programs, Stephen Roll, Mathieu Despard, Yung Chun, Kourtney Gilbert

Center for Social Development Research

Complex program rules can make it difficult to enroll and stay in public programs. These barriers are administrative burdens, the difficulties program applicants and participants face in accessing the benefits to which they are entitled under law. Drawing upon data from the Workforce Economic Inclusion and Mobility Survey of a nationally representative sample of 2,511 low-wage U.S. workers, this brief examines whether the experience of administrative burdens in the Supplemental Nutrition Assistance Program and Medicaid vary by the race and ethnicity of the individual interacting with the program.

Faculty Senate Archive: Finding Aid, Bethany Latham

Finding Aids

This collection is comprised of digitized minutes, resolutions, and other documentation related to the JSU Faculty Senate. Some of the items are digital only; others are physical collection items that have been digitized. Some of the materials were originally stored in the Alabama Gallery filing cabinets.

Access the Faculty Senate Archive

Aberrant Expression Of A Disintegrin And Metalloproteinase With Thrombospondin Motifs 13 (Adamts13) In Pancreatic Cancer Leads To Dichotomic Functions, Stephanie Allmang, Hagen R. Witzel, Anne Hausen, Simone Marquard, Christoph Eckert, Nicole Marnet, Nina Hörner, Philipp Mayer, Stefan Heinrich, Hien Dang, Wilfried Roth, Matthias M. Gaida

Department of Surgery Faculty Papers

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers characterized by highly invasive growth into the surrounding peripancreatic fat tissue, where tumor cells can directly interact with adipocytes. Due to poor response to the currently available (radio)chemotherapies, there is an urgent need for advanced therapy concepts. The present study shows that ADAMTS13 (a disintegrin and metalloproteinase with thrombospondin motifs 13), a key factor in blood coagulation, is significantly overexpressed in human PDAC. Immunohistochemical analysis revealed that ADAMTS13 expression is associated with prolonged survival and negatively correlated with vascular density. In vitro and in vivo experiments demonstrate its partial …

Developing A Classroom To Support Culturally Responsive Teaching: A Culturally Responsive Aspiring Teacher Assignment, Steven K. Sharp, David L. Conrad

Journal of Applied Disciplines

Following the development of the [State] Culturally Responsive Teaching and Leading Standards (CRTL), one University teacher preparation program created an assignment to challenge aspiring educators to think critically about culturally responsive teaching. With structural challenges such as tracking and culturally biased standardized testing, the program needed to evaluate how aspiring teachers would address those challenges while delivering a diverse curriculum, connecting with home and families, and valuing different linguistic backgrounds. Within a course on cross-cultural education, we developed a four-part assignment aligned with the course textbook by Nieto and Bode (2018). First, candidates created a reasonably diverse classroom to simulate …

The Cowl - V. 89 N. 7 - November 6, 2025

The Cowl

The Cowl - student newspaper of Providence College. Vol. 89 No. 7 - November 6, 2025. 16 pages.

The Colby Echo (2025-11-06), Colby College

The Colby Echo

Published by the students of Colby College since 1877, The Colby Echo is the weekly, editorially independent student-run newspaper of Colby College in Waterville, Maine. Published monthly, 1877-1886; semi-monthly, 1886-1897; and weekly during the academic year, 1898-present.

Northern New England Residents Generally Positive About Impact Of Fall Tourists 11/6/2025, Unh Survey Center

All UNH Survey Center Polls

Nearly two-thirds of Northern New England residents (64%) say that out-of-state visitors in the Fall season have a very (29%) or somewhat (36%) positive impact in their local area. Only 10% say that out-of-state Fall visitors have a very (4%) or somewhat (6%) negative impact, while 22% say their effects are mixed. Vermont residents (71%) are more likely than New Hampshire (62%) and Maine (62%) residents to say out-of-state Fall visitors have a positive impact.

Deep Reinforcement Learning Based Control For Enhanced Frequency Response With Multi-Energy Storage Systems, Abu Shouaib Hasan, Rui Fan, Wei Gao, Di Wu

Electrical and Computer Engineering: Faculty Scholarship

This paper proposes an advanced strategy for managing multiple battery energy storage systems (BESS) to enhance frequency support during contingencies. A novel deep reinforcement learning (DRL) framework based on a guided surrogate-gradient-based evolutionary strategy (GSES) was developed to dynamically regulate BESS outputs for rapid power injection or absorption. This approach effectively mitigates the rate of change of frequency (ROCOF) and stabilizes the system frequency under varying operating conditions. Parallel computing techniques are employed to accelerate training and ensure robust performance. In addition, a genetic algorithm is implemented to determine the placement of BESS within the grid network, strategically minimizing ROCOF …

Spartan Daily, November 6, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 33

Mutational Landscape And Clinical Impact Of Spen Mutations In Patients With Chronic Lymphocytic Leukemia, Priyatharsini Nirmalanantham, Andrés E Quesada, Anindita Ghosh, Pei Lin, Chi Y Ok, Richard K Yang, Hong Fang, Sofia Garces, Rashmi Kanagal-Shamanna, Sanam Loghavi, Mark J Routbort, Cameron Cheng Yin, Wang Wei, Sarah Pasyar, Roland Bassett, Siba El Hussein, Nitin Jain, Jan Burger, William G Wierda, Sa Wang, Carlos Bueso-Ramos, Keyur P Patel, Leonard Jeffrey Medeiros, Fatima Zahra Jelloul

Faculty, Staff and Student Publications

Background/objectives: NOTCH1 is frequently mutated in chronic lymphocytic leukemia (CLL) and is a marker of poor prognosis. In addition to NOTCH1, mutations in the NOTCH1 regulatory pathway including SPEN have been described in a limited number of CLL cases and others have suggested that these mutations are also associated with adverse patient outcomes Methods: In this study, 1617 CLL cases were assessed using targeted sequencing and a 29-gene panel and the results were correlated with prognosis.

Results: SPEN mutations were detected in 48 (2.9%) CLL patients: 92.4% were deleterious (frameshift or truncating nonsense mutations) and the remaining (7.6%) were …

Advancing Delirium Detection Through The Open Health Natural Language Processing Consortium And The Evolve To Next-Gen Accrual To Clinical Trials Network, Sunyang Fu, Min Ji Kwak, Jaerong Ahn, Zhiyi Yue, Shreyas Ranganath, Joseph R Applegate, Andrew Wen, Liwei Wang, Chenyu Li, Michele Morris, Kelly M Toth, Timothy D Girard, John D Osborne, Richard E Kennedy, Nelly-Estefanie Garduno-Rapp, Phillip Reeder, Justin F Rousseau, Chao Yan, You Chen, Mayur B Patel, Tyler J Murphy, Bradley A Malin, Chan Mi Park, Heling Jia, Sandeep Pagali, Allyson K Palmer, Jennifer St Sauver, Sunghwan Sohn, Elmer V Bernstam, Shyam Visweswaran, Yanshan Wang, Hongfang Liu

Faculty, Staff and Student Publications

Background: Delirium is often underdiagnosed in clinical practice and is not routinely coded for billing. While manual chart review can identify delirium, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) can analyze unstructured text in electronic health records (EHRs) to extract meaningful clinical information.

Methods: To support national integration of NLP for EHR-based delirium identification across different institutions, we launched the Delirium Interest Group within the national Evolve to Next-Gen Accrual to Clinical Trials (ENACT) NLP Working Group. This paper outlines our initial efforts to standardize, evaluate, and translate an NLP-based delirium detection model into the …

Distinct Tumor-Associated Macrophage Signatures Shape The Immune Microenvironment And Patient Prognosis In Renal Cell Carcinoma, Youngsoo Han, Aidan Shen, Cheng-Chi Chao, Lucas Yeung, Aliesha Garrett, Jianming Zeng, Satoru Kawakita, Jesse Wang, Zhaohui Wang, Alireza Hassani, Xiling Shen, Chongming Jiang

Faculty, Staff and Student Publications

Renal cell carcinoma (RCC) accounts for 90% of adult renal cancer cases and is characterized by significant heterogeneity within its tumor microenvironment. This study tests the hypothesis that tumor-associated macrophages (TAMs) influence RCC progression and patient response to treatment by investigating the prognostic implications of TAM signatures. Utilizing independent single-cell RNA sequencing data from RCC patients, we developed eight distinct TAM signatures reflective of TAM presence. A LASSO Cox regression model was constructed to predict survival outcomes, evaluated using the TCGA dataset, and validated across independent RCC cohorts. Model performance was assessed through Kaplan-Meier survival plots, receiver operating characteristic (ROC) …

Distinguishing Syndromic And Nonsyndromic Cleft Palate Through Analysis Of Protein-Altering De Novo Variants In 818 Trios, Kelsey R Robinson, Sarah W Curtis, Justin E Paschall, Wasiu Lanre Adeyemo, Terri H Beaty, Azeez Butali, Carmen J Buxó, David J Cutler, Michael P Epstein, Lord J J Gowans, Jacqueline T Hecht, Gary M Shaw, Lina Moreno Uribe, Jeffrey C Murray, Harrison Brand, Seth M Weinberg, Mary L Marazita, Kimberly F Doheny, Elizabeth J Leslie-Clarkson

Faculty, Staff and Student Publications

De novo variants (DNs) are sporadically occurring variants found in an offspring but absent in both parents. DNs most commonly arise in the germline and are not under selective pressure; therefore, they may be enriched for disease-causing alleles. In fact, DNs have been implicated in multiple rare genetic disorders. Cleft palate (CP) is a craniofacial congenital anomaly occurring in ∼1 in 1,700 live births. Genome-wide association studies have found fewer than a dozen CP-specific loci, while exome and targeted sequencing studies in family-based and case-control cohorts often lack statistical power to conclusively identify causal variants. We therefore hypothesized that CP …

Compadre: Combined Pedigree-Aware Distant Relatedness Estimation For Improved Pedigree Reconstruction, Grahame F Evans, James T Baker, Lauren E Petty, Alexander S Petty, Hannah G Polikowsky, Ryan J Bohlender, Hung-Hsin Chen, Che-Yu Chou, Kathryn Z Viljoen, Janet M Beilby, Shelly Jo Kraft, Wanying Zhu, Joshua M Landman, Autumn R Morrow, Dayi Bian, Alyssa C Scartozzi, Chad D Huff, Jennifer E Below

Faculty, Staff and Student Publications

Designing powerful and unbiased genomic studies requires accurate assessment of familial relatedness even when this information is not captured from participants. Characterization of pairwise degrees of relatedness from participants' genetic data enables reconstruction of pedigrees, and several pedigree reconstruction tools have emerged in the last decade. However, limitations of these tools include high computational burden in large datasets, reliance on external information, reduced accuracy in admixed populations, and most notably, an inability to accurately reconstruct pedigrees when only a subset of family members is represented in the genetic data. To improve pedigree reconstruction in large-scale data and in pedigrees with …

Bond Trustee's Objection To Confirmation

Catholic Dioceses in Bankruptcy

No abstract provided.

Site Specific Reliability-Targeted Snow Loads And Winter Wind Parameters Across The World, Brennan Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

Mathematics and Statistics Faculty Publications

This report presents a framework for estimating Reliability Targeted Snow Loads (RTSLs) and Winter Wind Parameters (WWPs) at locations outside the Conterminous United States (OCONUS). The methodology integrates ground-based in-situmeasurements with gridded global climate products to generate spatially continuous RTSL estimates for nearly any location in OCONUS. RTSLs are computed at qualifying in-situ stations, and predictive models relating gridded climate products to in-situRTSLs enable estimation at locations lacking direct measurements. This report describes the development of the in-situ annual maximum snow load database, the construction of global gridded climate summaries, the estimation of site-specific RTSLs and Service Targeted …

Americans' Top Concerns Reflect Both Common Ground And Partisan Splits: Economy Unites, But Policy And Politics Divide, Hwayong Shin

Weidenbaum Center Survey (WCS) Reports

Over the past two years, Americans have lived through several political shocks—both at home and abroad. In 2023, the removal of House Speaker Kevin McCarthy, the Supreme Court’s reversal on affirmative action, the outbreak of the Israel–Hamas war, and Donald Trump’s multiple indictments shook the political landscape. In 2024, Americans faced a series of events surrounding the presidential election—Trump’s conviction on felony charges, the Supreme Court’s subsequent ruling granting him presidential immunity, Joe Biden’s faltering debate performance that led to his withdrawal and Kamala Harris’s nomination, and Trump’s return to the White House. Since the new administration took office in …

Rising Metastatic Prostate Cancer Rates But Narrowing Racial Gap, Hanna Zurl, Zhiyu Qian, Klara K Pohl, Andrea Piccolini, Stephan M Korn, Muhieddine Labban, Stuart R Lipsitz, Mansoo Cho, Sean A Fletcher, Marianne Leitsmann, Sascha Ahyai, Quoc-Dien Trinh, Alexander P Cole

Faculty, Staff and Student Publications

Background: In recent years, there has been considerable interest in addressing racial disparities in prostate cancer (PCa) care including risk-adapted screening. This study examined trends in metastatic PCa incidence by race and placed them in context of changes in PSA screening recommendations.

Methods: We analyzed metastatic PCa incidence trends by race (using Surveillance Epidemiology and End Results data, 2005-2021) and PSA screening trends (using Behavioral Risk Factors Surveillance Survey data, 2012-2020). We fitted a generalized linear model with an interaction term for race and year of diagnosis and calculated annual incidence rate ratios (metastatic disease) and odds ratios (screening) for …

November 6, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Torso Synthetic Ct Generation By Integrating Deep Learning And Segmentation For Fdg-Pet/Mr Attenuation Correction, Jin Uk Heo, Robert S. Jones, Theodore Higgins Arsenault, Jennifer Dorth, Tithi Biswas, Raymond F. Muzic Jr

Faculty Scholarship

Introduction. Positron Emission Tomography/Magnetic Resonance (PET/MR) offers benefits over PET/CT including simultaneous PET and MR acquisition, intrinsic spatial registration accuracy, MR-based functional information, and superior soft tissue contrast. However, accurate attenuation correction (AC) for PET remains challenging as MR signals do not directly correspond to attenuation. Using deep learning algorithms that learn complex relationships, we generate synthetic CT (sCT) from MR for AC. Our novel method for AC, merges deep learning with threshold-based segmentation, to produce an AC map for the entire torso from Dixon MR images, which heretofore has not been demonstrated. Method. Twenty-nine prospectively collected, paired FDG-PET/CT and …